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NLP by Vinod

A structured public journey from NLP fundamentals to real-world AI systems.

Vinod Codes is where I document my learning in AI, Machine Learning, Deep Learning, Natural Language Processing, Generative AI, and practical projects.

The main series here is NLP by Vinod — a learner-builder journey where I explain concepts with intuition, Python examples, mistakes, GitHub work, and honest implementation notes.

Start here: follow the Foundations Track first, then move into deep learning, transformers, projects, and real-world NLP systems.
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Word Embeddings in NLP - Moving Beyond Sparse Features

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NLP by Vinod - Foundations Text Representation Word Embeddings in NLP - Moving Beyond Sparse Features. After count-based feature extraction, I learned why NLP needs dense vectors that can capture similarity, meaning and context better than Bag of Words and TF-IDF. NLP Embeddings Word2Vec GloVe
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